DocumentCode :
785555
Title :
Evolution of digital images
Author :
Jones, Mara Elizabeth ; Agah, Arvin
Author_Institution :
Kansas Univ., Lawrence, KS, USA
Volume :
32
Issue :
3
fYear :
2002
fDate :
8/1/2002 12:00:00 AM
Firstpage :
261
Lastpage :
271
Abstract :
The ability to create art is a uniquely human endeavor. Throughout history, humans have used paintings, drawings, songs, stories, and other art forms to communicate important ideas or events and to entertain. The advent of computers gave rise to a new medium for art. Computer generated art work has become popular in the entertainment and education industries. The paper uses genetic algorithms (GAs) to automatically evolve a set of unique digital images according to a predetermined set of criteria. By monitoring and automatically evaluating geometric features in images, the work reported in the paper intends to evolve interesting images with a variety of geometric features without the need for human intervention.
Keywords :
art; computer graphics; genetic algorithms; image processing; computer generated art work; digital images evolution; education; entertainment; genetic algorithms; geometric features; Application software; Art; Digital images; Genetic algorithms; History; Humans; Image generation; Internet; Motion pictures; Painting;
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
Publisher :
ieee
ISSN :
1094-6977
Type :
jour
DOI :
10.1109/TSMCC.2002.804449
Filename :
1097738
Link To Document :
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